Security Scan Report: g4-valley.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 3 domains to perform 10 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://g4-valley.vercel.app/

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Event ticket page on a free .vercel.app subdomain whose primary domain has a single-source phishing report; email capture but no password/payment fields and no exfiltration — treat as high-risk, do not enter purchase email.

Risk Factors (5)
Single-source phishing threat-intel match on the primary domain
Hosted on an instant-publish free subdomain with indeterminate page age
IDS alerts flagging the hosting namespace as an actor-abused cloud service
Claims 'oficial' ticket status for an event brand without a verifiable official domain
Email-collection flow requesting the address used for a purchase (typical precursor step in ticket phishing)
Domain age information unavailable

Details

Page Title

G4 Valley 2026 — Ingresso Digital Oficial

Scan Type

public

Domain Name Analysis

The domain 'g4-valley.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'g4-valley'. Count 6 characters in 'vercel' with two vowels and four consonants. It segments into two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

EDIGAD 2026 # 29, 30 E 31 DE OUTUBRO sio PAULO Seu ingresso digital, oficial e seguro. Acesse, baixe e acompanhe todas as transmissdes em um sé lugar. 8 Acesse seu ingresso Confirme o e-mail usad...

Page Load Overview

0.55s
Total Load Time
421 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:66%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:429 chars
Detector Agreement:82%
Language mismatch: Declared as en but detected as pt

All Detected Languages

🇵🇹pt(66%)🇩🇪de(22%)🇮🇹it(12%)

Website Classification

Primary Category

government public service82% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
82%
entertainment media
75%
news media journalism
67%
real estate property
61%
technology software
48%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
108--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5A2B444701C12386D3FAB64FEC8A72C9025B542EEA74426B10D149BE6D3FF539FAB94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:f2c5O8U5Q6nBOmEAUU/cxksc64Jysq7vG8kkP02YY:fvsnB7cxksc64Jysq7vG81P02YY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21529:gwAIlBHDMAzxkAGNEiOYgEBVRSERAAAILQAIwAUKDAAKAaWBZDAAuCBAFlCpKUBJMJArDOzA2AUBHC6LgkEIYjIDFwFEGQMx

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:5c3c3d1f01001818
Perceptual Hash:888b547230b9dbcf
Difference Hash:91e171336b093333
Wavelet Hash:7f7f3f3f03001818
Color Hash:380000000b0

Other Hashes

Crop Resistant:91e171336b093333

Scan History

Scan history not available

Unable to load historical scan data